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pro vyhledávání: '"Reza Sadoddin"'
Autor:
Reza Sadoddin, Osvaldo Driollet
Publikováno v:
BigDataService
We investigate the problem of finding unknown associations between 'concepts' in a given text corpus. A 'concept' is an entity, which is referred to by a phrase or multiple phrases (in case an entity has several names or synonyms, e.g. "illness", "di
Autor:
Ali A. Ghorbani, Reza Sadoddin
Publikováno v:
Computers & Security. 28:153-173
With the large volume of alerts produced by low-level detectors, management of intrusion alerts is becoming more challenging. Manual analysis of a large number of raw alerts is both time consuming and labor intensive. Alert Correlation addresses this
Autor:
Ali A. Ghorbani, Reza Sadoddin
Publikováno v:
Machine Learning and Data Mining in Pattern Recognition ISBN: 9783540734987
MLDM
MLDM
During the past number of years, machine learning and data mining techniques have received considerable attention among the intrusion detection researchers to address the weaknesses of knowledgebase detection techniques. This has led to the applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75a44b7c02270dcce9a4999221748330
https://doi.org/10.1007/978-3-540-73499-4_31
https://doi.org/10.1007/978-3-540-73499-4_31
Autor:
Reza Sadoddin, Ali A. Ghorbani
Publikováno v:
PST
Managing raw alerts generated by various sensors are becoming of more significance to intrusion detection systems as more sensors with different capabilities are distributed spatially in the network. Alert Correlation addresses this issue by reducing
Publikováno v:
Information and Communications Security ISBN: 9783540309345
ICICS
ICICS
Modeling and analysis of information system vulnerabilities helps us to predict possible attacks to networks using the network configuration and vulnerabilities information. As a fact, exploiting most of vulnerabilities result in access rights altera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70da90029608d74fbaee1173b9b78e59
https://doi.org/10.1007/11602897_22
https://doi.org/10.1007/11602897_22